Brain Marker May Detect Risk of Psychosis in Teens through AI

A new study has identified a brain marker for vulnerability to psychosis in late adolescence.

Investigators discovered an exaggerated emotional response from the brain to non-threatening and non-emotional cues predicts the emergence of the first signs of psychotic symptoms.

The results are consistent with hypotheses about how psychosis develops.

“Delusions and persecution ideas in psychosis appear as a way to make sense of a person’s tendency to attribute salience to neutral and non-salient environmental stimuli,” said the study’s lead author, Josiane Bourque, a doctoral student.

Experts believe the new finding could have important clinical significance for early identification of at-risk youth.

“We were able to detect brain-related abnormalities in teens before psychotic experiences and substance misuse begin to cause significant cognitive impairment and require medical intervention,” said Dr. Patricia Conrod, senior author and professor.

“It has yet to be determined whether exaggerated emotional reactivity to non-salient cues can be modified in young adolescents and whether such modifications can benefit at-risk youth,” Conrod said.

“This is something that we hope to investigate as a follow-up to these findings.”

Conrod’s team followed more than a thousand European teenagers from age 14 to 16 who were part of the well-known IMAGEN (Imaging Genetics for Mental Disorders) cohort — a group of people under study. Investigators measured the teens’ brain activity during completion of various cognitive tasks to evaluate reward sensitivity, inhibitory control and the processing of emotional and non-emotional content.

Additionally, the teenagers completed self-reported questionnaires on various psychiatric symptoms at ages 14 and 16.

The team first selected a group of youth at 14 years of age who were already reporting occasional psychotic-like experiences and showed that they responded to non-emotional stimuli as though they had strong emotional salience.

Then, using an AI machine-learning approach, the researchers tested whether these functional brain characteristics predicted emergence of future psychotic symptoms in a larger group of adolescents at 16 years of age.

Researchers discovered that at the age of 16, 6 percent of youth reported having had auditory or visual hallucinations and delusional ideas, and these experiences were significantly predicted by psychotic-like tendencies and brain reactivity to neutral stimuli at 14 years of age, and cannabis use prior to 16 years of age.

The findings may lead to new testing and future intervention strategies, but the research is at its earliest stage right now.

“Since psychosis onset is typically during the beginning of adulthood, early identification of psychosis vulnerability gives clinicians a large window of time in which to intervene on risky behaviors and key etiologic processes,” said Conrod, also a researcher at Sainte-Justine University Hospital Research Center.

“Our team hopes that this study helps guide the design of new intervention strategies for at-risk youth, before the symptoms become clinically relevant,” she concluded.

The research team was led by investigators from the University of Montreal and Sainte-Justine University Hospital Research Center. Their findings appear in the American Journal of Psychiatry.

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Rick Nauert PhD

Dr. Rick Nauert has over 25 years experience in clinical, administrative and academic healthcare. He is currently an associate professor for Rocky Mountain University of Health Professionals doctoral program in health promotion and wellness. Dr. Nauert began his career as a clinical physical therapist and served as a regional manager for a publicly traded multidisciplinary rehabilitation agency for 12 years. He has masters degrees in health-fitness management and healthcare administration and a doctoral degree from The University of Texas at Austin focused on health care informatics, health administration, health education and health policy. His research efforts included the area of telehealth with a specialty in disease management.